Data Science and Big data analytics 

Core Subjects

1. Mathematics for Data Science (Linear Algebra, Probability, Statistics)

2. Data Structures & Algorithms

3. Programming for Data Science (Python, R, SQL, Scala)

4. Big Data Technologies (Hadoop, Spark, Kafka)

5. Machine Learning & Predictive Analytics

6. Deep Learning & Neural Networks

7. Natural Language Processing (NLP)

8. Data Engineering & Data Pipelines

9. Cloud Computing for Data Science (AWS, GCP, Azure)

10. Database Systems (SQL, NoSQL, MongoDB)

11. Data Mining & Pattern Recognition

12. Time Series Analysis & Forecasting

 

Advanced & Elective Subjects

1. Large-Scale Data Processing (MapReduce, Apache Flink)

2. Reinforcement Learning

3. Graph Analytics & Network Science

4. Explainable AI & Responsible AI

5. Data Ethics & Privacy (GDPR, HIPAA)

6. Blockchain & Data Security

7. AI for Business Intelligence & Decision Making

8. Recommender Systems

9. Streaming Analytics & Real-Time Data Processing

10. Bayesian Inference & Probabilistic Models

11. Computer Vision in Data Science

12. Geospatial & Location-Based Data Analytics

13. Data Science in Healthcare & Bioinformatics

 

Practical & Research-Based Courses

1. Capstone Project / Research Thesis

2. Big Data Visualization & Dashboards (Tableau, Power BI)

3. A/B Testing & Causal Inference

4. Data Science for Finance & FinTech

5. Entrepreneurship in Data Science & AI Startups